OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Exploring Response to Immunotherapy in Non-Small Cell Lung Cancer Using Delta-Radiomics
Emanuele Barabino, Giovanni Rossi, Silvia Pamparino, et al.
Cancers (2022) Vol. 14, Iss. 2, pp. 350-350
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Introduction to radiomics for a clinical audience
Cathal McCague, Syafiq Ramlee, Marika Reinius, et al.
Clinical Radiology (2023) Vol. 78, Iss. 2, pp. 83-98
Open Access | Times Cited: 63

Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Laurent Dercle, Jeremy McGale, Shawn Sun, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 9, pp. e005292-e005292
Open Access | Times Cited: 60

Delta-radiomics in cancer immunotherapy response prediction: A systematic review
Engy Abbas, Salvatore Claudio Fanni, Claudio Bandini, et al.
European Journal of Radiology Open (2023) Vol. 11, pp. 100511-100511
Open Access | Times Cited: 17

Evaluating Outcome Prediction via Baseline, End-of-Treatment, and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-Cell Lymphoma
Fereshteh Yousefirizi, Claire Gowdy, Ivan S. Klyuzhin, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1090-1090
Open Access | Times Cited: 7

Rethinking the potential role of dose painting in personalized ultra-fractionated stereotactic adaptive radiotherapy
Hao Peng, Jie Deng, Steve Jiang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 6

Multi-omics and artificial intelligence predict clinical outcomes of immunotherapy in non-small cell lung cancer patients
Ting Mei, Ting Wang, Qinghua Zhou
Clinical and Experimental Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6

Delta radiomics: an updated systematic review
Valerio Nardone, Alfonso Reginelli, Dino Rubini, et al.
La radiologia medica (2024) Vol. 129, Iss. 8, pp. 1197-1214
Open Access | Times Cited: 6

Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?
Roger Sun, Théophraste Henry, Adrien Laville, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 7, pp. e004848-e004848
Open Access | Times Cited: 25

Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review
Nivedita Chakrabarty, Abhishek Mahajan
Clinical Oncology (2023) Vol. 36, Iss. 8, pp. 498-513
Closed Access | Times Cited: 11

The first case of esophageal mediastinal fistula after immunotherapy for non-small cell lung cancer: case report and literature review
Tianxiao Fu, Jiu Chen, Bing Xiong, et al.
Journal of Cardiothoracic Surgery (2025) Vol. 20, Iss. 1
Open Access

Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence
Nari Kim, Eun Sung Lee, Sang Eun Won, et al.
Korean Journal of Radiology (2022) Vol. 23, Iss. 11, pp. 1089-1089
Open Access | Times Cited: 18

Radiomics-guided checkpoint inhibitor immunotherapy for precision medicine in cancer: A review for clinicians
Huijie Zhou, Qian Luo, Wanchun Wu, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 7

Development of Radiomic-Based Model to Predict Clinical Outcomes in Non-Small Cell Lung Cancer Patients Treated with Immunotherapy
Olena Tankyevych, Flora Trousset, Claire Latappy, et al.
Cancers (2022) Vol. 14, Iss. 23, pp. 5931-5931
Open Access | Times Cited: 12

Non-linear modifications enhance prediction of pathological response to pre-operative PD-1 blockade in lung cancer: A longitudinal hybrid radiological model
Weiqiu Jin, Yu Tian, Wendi Xuzhang, et al.
Pharmacological Research (2023) Vol. 198, pp. 106992-106992
Open Access | Times Cited: 5

Distinguishing multiple primary lung cancers from intrapulmonary metastasis using CT-based radiomics
Mei Huang, Qinmei Xu, Mu Zhou, et al.
European Journal of Radiology (2022) Vol. 160, pp. 110671-110671
Closed Access | Times Cited: 8

Overview of approaches to estimate real-world disease progression in lung cancer
Rossybelle P. Amorrortu, Melany A. Garcia, Yayi Zhao, et al.
JNCI Cancer Spectrum (2023) Vol. 7, Iss. 6
Open Access | Times Cited: 4

Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies
Joanna Żyła, Michał Marczyk, Wojciech Prazuch, et al.
Biomolecules (2023) Vol. 14, Iss. 1, pp. 44-44
Open Access | Times Cited: 4

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